Modeling & Simulation Machine Learning Engineer
Procter & Gamble (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 4d ago
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Job description
Structured overview of role & requirements
About This Role
- Apply Modeling & Simulation (M&S) and Machine Learning (ML) to develop Digital Twins for virtual qualification and optimization of manufacturing processes.
- Develop fast surrogate models combining advanced M&S tools (FEA, CFD, Production System Modeling) with ML and physical data.
- Balance in-house development with turnkey solutions; own build/buy decisions and technical due diligence to drive actionable insights and business value.
Minimum Requirements
- Master’s or PhD degree in Engineering or related quantitative field with demonstrated practical AI/ML application to engineering problems.
- Proficiency in Python or R coding is required; experience with AI-assisted software development tools (e.g., GitHub Copilot).
- Demonstrated expertise in large data set analysis and combining first principles with ML approaches for surrogate model development.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong foundation in any engineering discipline (Mechanical, Chemical, Material Science, Electrical, Metallurgical, Aerospace, etc.) with ML specialization or research publications.
- Experience or strong interest in manufacturing processes and data infrastructure, able to translate complex data into actionable engineering insights.
- Familiarity with integrated control systems and modern analytical tools including Unix/Linux, Deep Learning frameworks, and high-performance computing environments is a plus.